A special issue of International Journal of Autonomous and Adaptive Communications Systems
With the increasing complexity of wireless networks, the task of network management is becoming more and more difficult to handle. Wireless networks are becoming too complex for even the most skilled system integrators to install, configure, and maintain. Therefore it is desirable that they should be fully autonomic - able to manage themselves following high level objectives defined by network administrators. This goal implies a need for distributed computational environments that would function with often very limited resources such as bandwidth, energy, or processing capability of wireless devices.
Nature has demonstrated itself to be efficient in dealing with many of these limitations, often in a more efficient way than the human-designed counterparts. Therefor, there has been significant interest in applying ideas based on natural systems in the wireless communications domain.
This special issue aims at bringing together contributions that apply ideas inspired by natural systems to wireless networks. It will address leading edge research ranging from theory to experimental evaluation and tools.
Topics of interest include (but are not limited to):
- Self-organising, self-adaptive and self-tuning wireless networks
- Bio-inspired autonomic networks
- Learning algorithms inspired by neuro-physiology
- Algorithms for securing wireless networks including approaches based on evolution or immunity
- Bio-inspired services
- Network epidemics
- Bio-inspired protocols design including bio-inspired routing or bio-inspired cognitive radio
- Experimental case studies, test beds and tools
Paper submission: 15 January, 2009
Acceptance notification: 15 April, 2009
Final papers due: 15 May, 2009
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